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Authors: Felipe Lodur and Wladmir Cardoso Brandão

Affiliation: Pontifical Catholic University of Minas Gerais (PUC Minas), Brazil

ISBN: 978-989-758-298-1

Keyword(s): Data Visualization, Social Media, Content Analysis, Stock.

Abstract: Users interactions in social media have proven to be highly correlated with changes in the Stock Market, and the large volume of data generated every day in this market makes the manual analytical processing impractical. Data visualization tools are powerful to enable this analysis, generating insights to support decisions. In this article we present SSV, our data visualization approach to analyze social media stock-related content. In particular, we present the SSV architecture, as well as the techniques used by it to provide data visualization. Additionally, we show that the visualizations displayed by SSV are not disposed arbitrarily, by contrary, it uses a ranking system based on visualization entropy. Moreover, we perform experiments to evaluate the ranking system and the results show that SSV is effective to rank data visualizations. We also conducted a case study with finance specialists to capture the usefulness of our proposed approach, which points out room for improvements.

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Paper citation in several formats:
Lodur, F. and Brandão, Wladmir C. (2018). SSV: An Interactive Visualization Approach for Social Media Stock-related Content Analysis.In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-298-1, pages 245-252. DOI: 10.5220/0006803502450252

@conference{iceis18,
author={Felipe Lodur. and Brandão, Wladmir C.},
title={SSV: An Interactive Visualization Approach for Social Media Stock-related Content Analysis},
booktitle={Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2018},
pages={245-252},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006803502450252},
isbn={978-989-758-298-1},
}

TY - CONF

JO - Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - SSV: An Interactive Visualization Approach for Social Media Stock-related Content Analysis
SN - 978-989-758-298-1
AU - Lodur, F.
AU - Brandão, Wladmir C.
PY - 2018
SP - 245
EP - 252
DO - 10.5220/0006803502450252

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